AI Evaluation Should Work With Humans
Jan Kulveit, Gavin Leech, Tomáš Gavenčiak, Raymond Douglas
cs.AI cs.LG
Abstract
This position paper argues that the dominant paradigm of AI evaluation (which focuses on superhuman autonomous performance and so implicitly targets the goal of replacing humans) is guiding AI development in the wrong direction. Instead, the AI community should pivot to evaluating the performance of human--AI teams. We argue that this collaborative shift will foster AI systems that act as true complements to human capabilities and therefore lead to far better societal outcomes than will the current process.
Topics
Classified with taxonomy v2 on Sat, 5 Sept 2026.